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Simulating resource management across the cloud-to-thing continuum: a survey and future directions

Bendechache, Malika orcid logoORCID: 0000-0003-0069-1860, Svorobej, Sergej orcid logoORCID: 0000-0001-8900-8700, Takako Endo, Patricia orcid logoORCID: 0000-0002-9163-5583 and Lynn, Theo orcid logoORCID: 0000-0001-9284-7580 (2020) Simulating resource management across the cloud-to-thing continuum: a survey and future directions. Future Internet, 12 (6). pp. 1-25. ISSN 1999-5903

Abstract
In recent years, there has been significant advancement in resource management mechanisms for cloud~computing infrastructure performance in terms of cost, quality of service (QoS) and energy consumption. The emergence of the Internet of Things has led to the development of infrastructure that extends beyond centralised data centers from the cloud to the edge, the so-called cloud-to-thing continuum (C2T). This infrastructure is characterised by extreme heterogeneity, geographic distribution, and complexity, where the key performance indicators (KPIs) for the traditional model of cloud~computing may no longer apply in the same way. Existing resource management mechanisms may not be suitable for such complex environments and therefore require thorough testing, validation and evaluation before even being considered for live system implementation. Similarly, previously discounted resource management proposals may be more relevant and worthy of revisiting. Simulation is a widely used technique in the development and evaluation of resource management mechanisms for cloud~computing but is a relatively nascent research area for new C2T~computing paradigms such as fog and edge~computing. We present a methodical literature analysis of C2T resource management research using simulation software tools to assist researchers in identifying suitable methods, algorithms, and simulation approaches for future research. We analyse 35 research articles from a total collection of 317 journal articles published from January 2009 to March 2019. We present our descriptive and synthetic analysis from a variety of perspectives including resource management, C2T layer, and simulation.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:simulating cloud computing; simulating resource management; simulating resource provisioning; simulating resource scheduling; cloud-to-thing continuum; C2T; systematic review; cloud computing; edge computing; fog computing; simulation tools
Subjects:Computer Science > Computer simulation
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Publisher:Multidisciplinary Digital Publishing Institute
Official URL:http://dx.doi.org/10.3390/fi12060095
Copyright Information:© 2020 The Authors. CC BY 4.0
Funders:European Union's Horizon 2020 research and innovation programme under Grant No. 732667 (RECAP), Science Foundation Ireland (SFI) under the Enable Grant No. 16/SP/3804, ADAPT Centre which is supported by SFI under Grant No. 13/RC/2106
ID Code:24537
Deposited On:04 Jun 2020 13:21 by Malika Bendechache . Last Modified 26 Nov 2020 17:13
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